Hi, my name is Nicolás Aller Ponte
Data Science & Engineering Student.

Know more

About me

Nicolás Aller Ponte

I'm a Data Science & Engineering student at Universidade da Coruña and Research Assistant at the Inditex-UDC AI Chair in Green Algorithms, where I develop feature-selection systems for AI models. I've also worked as an AI Engineer at Gradiant, building computer vision pipelines for car damage detection.

My stack spans the full data lifecycle — from HPC and parallel computing (C/C++, CUDA, MPI) to deep learning (PyTorch, TensorFlow), data engineering (Spark, SQL, Docker, AWS/GCP), and NLP/Computer Vision.

CV

Projects

Outfit Intelligence — HackUDC 2026 🏆

Double award-winner at HackUDC 2026 (1st Best Open Source AI, 2nd Inditex-Tech). Multi-layer visual search pipeline with YOLOv8, SigLIP-384 & DINOv2 ensemble over 27k+ fashion products, served via FAISS + FastAPI.

Project Image

SmartPorts Ship Classification

Port CCTV image classification for ship detection and docking status using CNN and ResNet18 with stratified K-Fold cross-validation. Trained on real port imagery datasets.

Project Image

MatrixLens

Cache-aware audit tool for matrix multiplication kernels. Simulates L1 cache behavior (LRU, set-associative) to visualize how tiling strategies eliminate cache misses in high-performance computing.

Project Image

Check out more of my work on GitHub

GitHub Profile

Awards

On March 1, 2026, we presented our project at HackUDC for the InditexTech challenge. Following a stellar presentation before the Inditex team and GPUL, we were honored with the 1st Prize for Best Use of Open Source AI and the 2nd Prize in the Inditex-Tech Challenge.

🥇 1st Prize — Best Open Source AI
🥈 2nd Prize — Inditex-Tech Challenge

Contact

Interested in collaborating or just want to say hi?

Say Hello